Data is everywhere and it has never been more important to have data scientists available to help enterprises generate insights and predictions to enable smarter business decisions. Info World brought this interesting information to our attention in their article, “5 reasons data science belongs in the cloud.”
Typically, data scientists are experts in statistical analysis and mathematical modeling and proficient in programming languages. However, most data science is still done on laptops. This can result in processes that are prone to errors and delays.
Algorithms and machine learning models are key components to effective advanced analytics and machine learning technology. Data scientists, data engineers, machine learning engineers, data analysts, and citizen data scientists all need to collaborate on these elements to deliver data-driven insights for business decision making.
Machine learning is not just for analytics. It can also be embedded within tools to automate data management development and optimize execution.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.